APPLICATIONS

How Cameras Maximize the Power of Modern Dental Applications

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Modern dentistry has been transformed by advanced cameras, aiding in diagnosis, treatment, and patient communication. High-quality intraoral cameras capture detailed images of teeth and gums, and cameras in dental loupes and surgical lights enhance procedures. […]

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Challenges and Opportunities in the 2024 Autonomous Bus Industry

Autonomous buses represent one of the most challenging platforms in the autonomous driving industry. In recent years, commercial interest has shifted towards roboshuttles and robotaxis, partly due to the complex operational design domains (ODD) of autonomous buses. The typical ODD for a bus requires interactions with a broad range of road users, including more pedestrians,

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Scalable Public Safety with On-device AI: How Startup FocusAI is Filling Enterprise Security Market Gaps

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Enterprise security is not just big business, it’s about keeping you safe: Here’s how engineer-turned-CTO Sudhakaran Ram collaborated with us to do just that. Key Takeaways: On-device AI enables superior enterprise-grade security. Distributed computing cost-efficiently enables actionable

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Untether AI Demonstration of Video Analysis Using the runAI Family of Inference Accelerators

Max Sbabo, Senior Application Engineer at Untether AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Sbabo demonstrates his company’s its AI inference technology with AI accelerator cards that leverage the capabilities of the runAI family of ICs in a PCI-Express form factor. This demonstration

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The Role of AI-driven Embedded Vision Cameras in Self-checkout Loss Prevention

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Self-checkout usage is rapidly growing and redefining retail experiences. This shift has led to retail losses that can only be overcome by AI-based embedded vision. Explore the types of retail shrinkage, how AI helps, and

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Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor

Shay Harel, field application engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Harel demonstrates the capabilities of his company’s M4.51 sensor module using a simple Python script that leverages Inuitive’s API for real-time object detection. The M4.51 sensor module, based on the

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Avnet Demonstration of an AI-driven Smart Parking Lot Monitoring System Using the RZBoard V2L

Monica Houston, AI Manager of the Advanced Applications Group at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Houston demonstrates a smart city application based on her company’s RZBoard single-board computer. Using embedded vision and combination of edge AI and cloud connectivity, the demo

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Advantech Demonstration of AI Vision with an Edge AI Camera and Deep Learning Software

Brian Lin, Field Sales Engineer at Advantech, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lin demonstrates his company’s edge AI vision solution embedded with NVIDIA Jetson platforms. Lin demonstrates how Advantech’s industrial cameras, equipped with Overview’s deep-learning software, effortlessly capture even the tiniest defects

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Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a

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Analog Devices Demonstration of the MAX78000 Microcontroller Enabling Edge AI in a Robotic Arm

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates visual servoing in a robotic arm enabled by the MAX78000 AI microcontroller. The MAX78000 is an Arm-M4F microcontroller with a hardware-based convolutional

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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